per image
black-forest-labs/FLUX-1-dev
deepinfra/black-forest-labs/FLUX-1-dev
FLUX.1-dev is a state-of-the-art 12 billion parameter rectified flow transformer developed by Black Forest Labs. This model excels in text-to-image generation, providing highly accurate and detailed outputs. It is particularly well-regarded for its ability to follow complex prompts and generate anatomically accurate images, especially with challenging details like hands and faces.
Price
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
| Provider | Tag | Quant | Input | Output | Context | Uptime | Status | Source |
|---|---|---|---|---|---|---|---|---|
| DeepInfra | — | — | Not published— | Not published— | — | — | Listed | deepinfra |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$9.00 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| image | Not published— | Not published— | $0.009/image | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | image | Not published— | Not published— | $0.009 |
| 2026-10-09 | image | Not published— | Not published— | $0.009 |
| 2026-10-10 | image | Not published— | Not published— | $0.009 |
| 2026-10-11 | image | Not published— | Not published— | $0.009 |
| 2026-10-12 | image | Not published— | Not published— | $0.009 |
| 2026-10-13 | image | Not published— | Not published— | $0.009 |
| 2026-10-14 | image | Not published— | Not published— | $0.009 |
| 2026-10-15 | image | Not published— | Not published— | $0.009 |
| 2026-10-16 | image | Not published— | Not published— | $0.009 |
| 2026-10-17 | image | Not published— | Not published— | $0.009 |
| 2026-10-18 | image | Not published— | Not published— | $0.009 |
| 2026-10-19 | image | Not published— | Not published— | $0.009 |
| 2026-10-20 | image | Not published— | Not published— | $0.009 |
| 2026-10-21 | image | Not published— | Not published— | $0.009 |
| 2026-10-22 | image | Not published— | Not published— | $0.009 |
| 2026-10-23 | image | Not published— | Not published— | $0.009 |
| 2026-10-24 | image | Not published— | Not published— | $0.009 |
| 2026-10-25 | image | Not published— | Not published— | $0.009 |
| 2026-10-26 | image | Not published— | Not published— | $0.009 |
| 2026-10-27 | image | Not published— | Not published— | $0.009 |
| 2026-10-28 | image | Not published— | Not published— | $0.009 |
| 2026-10-29 | image | Not published— | Not published— | $0.009 |
| 2026-10-30 | image | Not published— | Not published— | $0.009 |
Alternatives
- Baseten: Joey 1$0.01/1M · Compare
- black-forest-labs/FLUX-2-dev$0.01/image · Compare
- Meta Muse Image Edit$0.01/image · Compare
- OpenRouter$0.01/unit · Compare
- OpenRouter [Vision]$0.01/unit · Compare
- OpenRouter Chat Completions [OpenAI Compatible]$0.01/unit · Compare
Parameters (1)
Call this model
OpenRouter id deepinfra/black-forest-labs/FLUX-1-dev. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepinfra/black-forest-labs/FLUX-1-dev","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "deepinfra/black-forest-labs/FLUX-1-dev",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "deepinfra/black-forest-labs/FLUX-1-dev", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())